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Grok 4.20 vs Step 3.7 Flash

Updated October 21, 2026. 15 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Grok 4.20xAI
Coding
33.3
Overall
25.7
Output $/M
$2.50
13
Step 3.7 FlashStepFun
Coding
No data
Overall
19.5
Output $/M
$1.15
2
vs boards won of 15 shared

Decision reading

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding.

Step 3.7 Flash has the edge where output tokens cost 2.2x less, and where what matters is τ²-Bench Telecom or Long context reasoning (AA-LCR), where it leads.

Shared results
15
Grok 4.20 only
39
Step 3.7 Flash only
3
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Grok 4.20 33.3 from 2 benchmarks, Step 3.7 Flash not benchmarked.
Widest category
Reasoning, 11.7 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: Grok 4.20 81.2% against Step 3.7 Flash 67.3%, 13.9 points apart on a 0 to 100 scale.
Output price
Grok 4.20 $2.50 against Step 3.7 Flash $1.15 per million output tokens, 2.2x apart.
Context window
Grok 4.20 takes 2M tokens, Step 3.7 Flash 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGrok 4.20BarsStep 3.7 FlashTies
Coding10
Intelligence10
Agentic work01
Reasoning20
Web design80
General11
All shared boards132
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
AA Coding IndexNot measured39.6Only Step 3.7 Flash measured
LiveCodeBench (Vals AI)84.3%Not measuredOnly Grok 4.20 measured
SWE-bench Verified (Vals AI)72.2%Not measuredOnly Grok 4.20 measured
Vibe Code Bench (Vals AI)4.1%Not measuredOnly Grok 4.20 measured
Code migration (Vals AI)0.3%Not measuredOnly Grok 4.20 measured
Terminal-Bench 2.1 (Vals AI)44.2%Not measuredOnly Grok 4.20 measured
SciCodeNot measured43.9%Only Step 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)37.9%35.6%Grok 4.20
Terminal-Bench57.3%Not measuredOnly Grok 4.20 measured
WeirdML52.3%Not measuredOnly Grok 4.20 measured
ALE-BenchNot measured694.1Only Step 3.7 Flash measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
AA Intelligence Index25.719.5Grok 4.20
Epoch Capabilities Index152.1Not measuredOnly Grok 4.20 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
Design Arena: agents building web apps1144Not measuredOnly Grok 4.20 measured
Design Arena: agents building full-stack apps1054Not measuredOnly Grok 4.20 measured
Design Arena: agents building mobile apps1090Not measuredOnly Grok 4.20 measured
Design Arena: agents building Android apps1052Not measuredOnly Grok 4.20 measured
Design Arena: agents building Godot games1089Not measuredOnly Grok 4.20 measured
Design Arena: HTML slides1180Not measuredOnly Grok 4.20 measured
Finance Agent (Vals AI)28.5%Not measuredOnly Grok 4.20 measured
Tax Agent Bench (Vals AI)7.0%Not measuredOnly Grok 4.20 measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Grok 4.20 measured
Excel Modeling Benchmark (Vals AI)11.7%Not measuredOnly Grok 4.20 measured
τ²-Bench Telecom93.0%98.5%Step 3.7 Flash
Vending-Bench 2$4,663Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
GPQA Diamond88.6%Not measuredOnly Grok 4.20 measured
MMMU Pro (Vals AI)83.5%Not measuredOnly Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)91.1%80.9%Grok 4.20
Humanity's Last Exam (Artificial Analysis run)34.5%21.4%Grok 4.20
ARC-AGI89.5%Not measuredOnly Grok 4.20 measured
ARC-AGI-265.1%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
AIME96.5%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
MMLU Pro86.3%Not measuredOnly Grok 4.20 measured
LegalBench (Vals AI)77.7%Not measuredOnly Grok 4.20 measured
CaseLaw (Vals AI)54.4%Not measuredOnly Grok 4.20 measured
CorpFin (Vals AI)63.7%Not measuredOnly Grok 4.20 measured
TaxEval (Vals AI)74.1%Not measuredOnly Grok 4.20 measured
MortgageTax (Vals AI)45.4%Not measuredOnly Grok 4.20 measured
MedQA (Vals AI)94.5%Not measuredOnly Grok 4.20 measured
MedCode (Vals AI)32.2%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
Design Arena: websites12291196Grok 4.20
Design Arena: UI components11991179Grok 4.20
Design Arena: game dev11921158Grok 4.20
Design Arena: data viz12171172Grok 4.20
Design Arena: 3D11931129Grok 4.20
Design Arena: all code categories12211182Grok 4.20
Design Arena: SVG11641085Grok 4.20
Design Arena: ASCII art11741152Grok 4.20
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
SAGE (Vals AI)38.2%Not measuredOnly Grok 4.20 measured
MedScribe (Vals AI)63.4%Not measuredOnly Grok 4.20 measured
Vals Multimodal Index39.1%Not measuredOnly Grok 4.20 measured
IFBench81.2%67.3%Grok 4.20
Long context reasoning (AA-LCR)69.0%73.7%Step 3.7 Flash
DTBench90.1%Not measuredOnly Grok 4.20 measured
LMCA38.7%Not measuredOnly Grok 4.20 measured
CL-bench22.2%Not measuredOnly Grok 4.20 measured
CL-bench Life11.9%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 37 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok 4.20 and Step 3.7 Flash
BenchmarkGrok 4.20Step 3.7 FlashLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Grok 4.20$0.0025Fits in one request
Step 3.7 Flash$0.0008Fits in one request

Step 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request
Step 3.7 Flash$0.013Fits in one request

Step 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request
Step 3.7 Flash$0.051Fits in one request

Step 3.7 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Grok 4.20 and Step 3.7 Flash
SpecificationSpaceXAI Grok 4.20StepFun Step 3.7 Flash
MakerxAIStepFun
WeightsNo public weights listedOpen weights
ReleasedMarch 31, 2026May 28, 2026
Context window2M262K
Input $/Mtok$1.25$0.20
Output $/Mtok$2.50$1.15
Coding index33.3Not benchmarked
Independent measurements behind it20
Cost per solved task$0.72Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.20 better than Step 3.7 Flash for coding?

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding. Step 3.7 Flash has the edge where output tokens cost 2.2x less, and where what matters is τ²-Bench Telecom or Long context reasoning (AA-LCR), where it leads.

Which is cheaper, Grok 4.20 or Step 3.7 Flash?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for Grok 4.20 only.

Which has the bigger context window, Grok 4.20 or Step 3.7 Flash?

Grok 4.20, with 2M tokens against 262K.

How many benchmarks is the Grok 4.20 vs Step 3.7 Flash comparison based on?

15 benchmarks have a result for both models as of October 21, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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